Alternatives and similar repositories for genlasso:

Users that are interested in genlasso are comparing it to the libraries listed below

• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 5 months ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆11Updated 7 years ago
• theodds / SoftBART
  ☆31Updated 2 months ago
• skdeshpande91 / VCBART
  R implementation of VCBART
  ☆21Updated 10 months ago
• YaohuiZeng / grpregOverlap
  Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
  ☆20Updated 2 years ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆85Updated last year
• erichson / spca
  Sparse Principal Component Analysis (SPCA) using Variable Projection
  ☆68Updated 6 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆25Updated 6 months ago
• JamesYang007 / adelie
  A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
  ☆37Updated last month
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆35Updated 4 years ago
• hofnerb / stabs
  Stability Selection with Error Control
  ☆26Updated 4 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• pbreheny / grpreg
  Regularization paths for regression models with grouped covariates
  ☆34Updated 3 weeks ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• jaredhuling / oem
  Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
  ☆27Updated 7 months ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆43Updated 4 years ago
• RoheLab / vsp
  Vintage Sparse PCA for Semi-Parametric Network Analysis
  ☆26Updated 4 months ago
• dajmcdon / sparsegl
  ☆18Updated 6 months ago
• jeffwong / cudaglmnet
  A lasso solver on the GPU
  ☆11Updated 11 years ago
• jasonge27 / picasso
  Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty
  ☆76Updated 3 years ago
• erichson / rSVD
  Randomized Matrix Decompositions using R
  ☆98Updated 3 years ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated 6 months ago
• selective-inference / R-software
  R software for selective inference
  ☆34Updated 5 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• CY-dev / hqreg
  Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net
  ☆10Updated 4 months ago
• ryantibs / convexopt-book1
  Convex optimization for statistics and machine learning
  ☆16Updated 2 months ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆47Updated 4 years ago
• ehkennedy / npcausal
  ☆93Updated last year
• rsnirwan / HouseholderBPCA
  Rotation Invariant Householder Parameterization for Bayesian PCA
  ☆17Updated 2 years ago